code: def test_pretrained_weights_cpu(self, weights):
      model = OnnxLightGlue(weights, "cpu")
      assert model is not None
  
file_path: kornia/test/feature/test_lightglue_onnx.py
imports: import pytest
  import torch
  from kornia.feature import OnnxLightGlue
  from kornia.feature.lightglue_onnx.utils import normalize_keypoints
label_desc: Use image node_id 2 for calling the TestOnnxLightGlue obj's underlying member method code with example usage: obj.test_pretrained_weights_cpu(weights) without return types